






"""simple docstring"""


import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 						__UpperCamelCase     (     UpperCamelCase   ,     unittest.TestCase						):
					lowercase_    :				str      =  FunnelTokenizer
					lowercase_    :				str      =  FunnelTokenizerFast
					lowercase_    :				int      =  True
					lowercase_    :				Optional[int]      =  True
					def        UpperCAmelCase__ (							self							:	Optional[Any]   )	->       Union[str, Any]:
											super().setUp()

											lowerCAmelCase   :Tuple						=			[
											    '<unk>',
											    '<cls>',
											    '<sep>',
											    'want',
											    '##want',
											    '##ed',
											    'wa',
											    'un',
											    'runn',
											    '##ing',
											    ',',
											    'low',
											    'lowest',
											]
											lowerCAmelCase   :Dict						=			os.path.join(self.tmpdirname     , VOCAB_FILES_NAMES['vocab_file']   )
											with open(self.vocab_file     , 'w'     , encoding='utf-8'   ) as vocab_writer:
																	vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]   )   )
					def        UpperCAmelCase__ (							self							:	Any     , **UpperCAmelCase							:	Any   )	->       Tuple:
											return FunnelTokenizer.from_pretrained(self.tmpdirname     , **UpperCAmelCase   )
					def        UpperCAmelCase__ (							self							:	Union[str, Any]     , **UpperCAmelCase							:	int   )	->       Dict:
											return FunnelTokenizerFast.from_pretrained(self.tmpdirname     , **UpperCAmelCase   )
					def        UpperCAmelCase__ (							self							:	str     , UpperCAmelCase							:	Union[str, Any]   )	->       str:
											lowerCAmelCase   :Union[str, Any]						=			'UNwant\u00E9d,running'
											lowerCAmelCase   :List[Any]						=			'unwanted, running'
											return input_text, output_text
					def        UpperCAmelCase__ (							self							:	Tuple   )	->       Dict:
											lowerCAmelCase   :Dict						=			self.tokenizer_class(self.vocab_file   )

											lowerCAmelCase   :Any						=			tokenizer.tokenize('UNwant\u00E9d,running'   )
											self.assertListEqual(UpperCAmelCase     , ['un', '##want', '##ed', ',', 'runn', '##ing']   )
											self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase   )     , [7, 4, 5, 10, 8, 9]   )
					def        UpperCAmelCase__ (							self							:	str   )	->       Dict:
											lowerCAmelCase   :Dict						=			self.get_tokenizers(do_lower_case=UpperCAmelCase   )
											for tokenizer in tokenizers:
																	lowerCAmelCase   :Union[str, Any]						=			tokenizer('UNwant\u00E9d,running'   )
																	lowerCAmelCase   :str						=			len(inputs['input_ids']   ) - 1
																	self.assertListEqual(inputs['token_type_ids']     , [2] + [0] * sentence_len   )

																	lowerCAmelCase   :Union[str, Any]						=			tokenizer('UNwant\u00E9d,running'     , 'UNwant\u00E9d,running'   )
																	self.assertListEqual(inputs['token_type_ids']     , [2] + [0] * sentence_len + [1] * sentence_len   )







"""simple docstring"""


def        UpperCAmelCase      (					a__     ,      a__ ):





						'''simple docstring'''






						lowerCAmelCase   :Tuple						=			len(a__ )
						print('The following activities are selected:' )

						# The first activity is always selected
						lowerCAmelCase   :Dict						=			0
						print(a__     ,      end=',' )

						# Consider rest of the activities
						for j in range(a__ ):
												# If this activity has start time greater than
												# or equal to the finish time of previously
												# selected activity, then select it
												if start[j] >= finish[i]:
																		print(a__     ,      end=',' )
																		lowerCAmelCase   :List[str]						=			j


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		__SCREAMING_SNAKE_CASE   =   [1, 3, 0, 5, 8, 5]
		__SCREAMING_SNAKE_CASE   =   [2, 4, 6, 7, 9, 9]
		print_max_activities(start, finish)